Triple

T15889853
Position Surface form Disambiguated ID Type / Status
Subject Bardufoss Airport E385287 entity
Predicate locatedIn P40 FINISHED
Object Bardu Municipality E1175950 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bardu Municipality | Statement: [Bardufoss Airport, locatedIn, Bardu Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardu Municipality
Context triple: [Bardufoss Airport, locatedIn, Bardu Municipality]
  • A. Bardu Municipality chosen
    Bardu Municipality is a sparsely populated inland municipality in Troms og Finnmark county, Norway, known for its military presence, forests, and mountainous wilderness.
  • B. Senja Municipality
    Senja Municipality is a local government area in Troms og Finnmark county, Norway, encompassing much of the island of Senja and surrounding mainland and coastal areas.
  • C. Nora Municipality
    Nora Municipality is a local government area in central Sweden known for its historic wooden town of Nora and surrounding lakes and forests.
  • D. Etne Municipality
    Etne Municipality is a rural coastal municipality in western Norway known for its fjords, mountains, and traditional farming and fishing communities.
  • E. Banes Municipality
    Banes Municipality is an administrative division and coastal community in eastern Cuba known for its archaeological sites and historic role in the country’s sugar industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561d5c28819094c3541d917a4433 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb047b6248190b6c11ef20636f50f completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.